HTTP Interfaces and External Systems for Optical Module

What the Data for This Category Looks Like

Optical module research report data primarily comes from third-party financial research institutions in the communications industry, public technical white papers from optical module manufacturers, industry association standard documents, and supply chain monitoring data. Update cycles fall into three categories:

Manufacturer new product announcements are updated weekly
Industrial chain quarterly data is updated monthly
In-depth industry research reports are updated quarterly

The document structure includes standardized parameter fields and unstructured analysis content. Structured fields include optical module rate (unit: Tbps), power consumption (unit: W), transmission distance (unit: km), and package type. Unstructured content includes application scenario analysis, supply chain cost calculations, and similar content.

What Constraints These Characteristics Impose on HTTP Interfaces and External Systems

Structured parameter accuracy requirements for optical module research reports are high, and multi-source data has field naming differences. This requires HTTP interfaces to support precise field-level filtering and unified mapping. Update frequencies vary widely across different content types. This requires external systems to flexibly switch between incremental pull and full synchronization. Single in-depth research reports can reach thousands of characters in length. This requires interfaces to configure sufficient parsing timeout periods. Optical module model naming follows strict industry specifications. This requires interfaces to support exact match retrieval to avoid irrelevant results being included. External system docking also requires handling field alignment across multiple data sources. Failure to do so will lead to missing or incorrect fields in retrieval results.

How to Set Configurations

Configuration Item	Recommended Value Range	Rationale
`maxConcurrentRequests`	`10-20`	Optical module research reports have large individual data volumes. Excessive concurrency will cause container resource exhaustion. This range matches resource usage levels for v4.8.22 and later versions.
`recallTopK`	`Top 8-12 results`	Optical module research reports have many structured fields. Excessive recall will increase interface parsing load. This range covers mainstream retrieval requirements.
`similarityThreshold`	`0.75-0.85`	Optical module model names have strong uniqueness. A threshold that is too low will introduce research reports for irrelevant models. A threshold that is too high may miss relevant analysis content.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	In-depth research reports contain large amounts of technical parameter analysis. The default timeout period is insufficient to complete parsing. This duration covers full content processing.
`incrementalSyncInterval`	`Every 6 hours`	Manufacturer new product announcements have a high update frequency. This interval balances real-time performance and server resource consumption.
`fieldMapping`	`Preset mapping rules per data source`	Field naming varies across research report sources. For example, `transmission distance` may be labeled `reach`. Mapping rules unify field standards.

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Calling the HTTP interface returns a 429 Too Many Requests status code. The maxConcurrentRequests parameter is not configured, and the default concurrency limit cannot adapt to batch call requirements.
The optical module rate field is empty in research report results returned by the interface. The fieldMapping parameter is not configured, and the native field name from the data source is not mapped to the standard retrieval field.
The connection disconnects after waiting longer than the preset duration when calling the interface. The PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted based on the length of in-depth research reports, and the default timeout period is too short, causing parsing interruptions.

How to Confirm Correct Configuration

Execute a standard curl command to call the application's HTTP interface, pass a known optical module model keyword, and check if the returned results include standardized fields such as optical module rate and transmission distance.
View the FastGPT application monitoring panel, confirm that the number of concurrent requests does not exceed the set maxConcurrentRequests value, and there are no 429 error logs.
Manually trigger an incremental synchronization task, check that the synchronization log only displays research report data with an update time later than the last synchronization, and there are no duplicate pull records.
Adjust the similarityThreshold parameter to 0.8, retrieve research reports for a specific optical module model, and check if the relevance of the returned results meets expectations.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.